We design several experiments to show the effectiveness of our algorithm. For DMR, we evaluate the three cases described in Fig. REF  on the DAVIS dataset [1]}, and compare against state-of-the-art event-based algorithms, i.e., Complementary Filter [2]} and Event-based Double Integral [3]}. For RD, we evaluate the effectiveness of our learning strategy by comparing with Gaussian denoisers, e.g., DnCNN [4]} and FFDNet [5]}. We finally compare our results with a non-event-based frame interpolation algorithm, SepConv [6]}.
